Para qué sirve
It aims to solve the problems of low efficiency and high cost of traditional manual fruit picking and provide intelligent and automated picking solutions for modern orchards.
Qué te inspiró
As rural laborers migrate to cities, there is a shortage of manpower for fruit picking and the cost is high. Agricultural modernization requires the improvement of intelligence, and robots help fruit production. The demand for fruit pickers is increasing, and robots can meet the needs of large-scale high-quality picking.
Cómo funciona
1. Identification and positioning: Relying on the visual system (camera), combined with the image recognition algorithm, it can identify the type and maturity of the fruit, determine the position and coordinates of the fruit, and some will use infrared and laser to assist in precise positioning. 2. Path planning: According to the position of the fruit and the environment of the fruit tree, the robot arm movement path is planned to avoid obstacles such as branches and trunks to ensure smooth arrival at the picking point. 3. Picking operation: The robot arm drives the end effector to gently pick the fruit through clamping, twisting, shearing and other actions to avoid damage. 4. Fruit collection: The picked fruit is sent to the collection box or subsequent processing link through conveyor belts, robot arm transportation, etc. Some robots can also perform preliminary sorting and classify by size and quality.
Proceso de diseño
1. Demand analysis and definition: In-depth research on fruit planting scenarios, target fruit (such as apples, strawberries, etc.) characteristics (size, shape, maturity criteria), growers' needs (picking efficiency, damage rate requirements, etc.), analyze the lack of existing picking equipment in the market, clarify the functions that robots need to have (accurate identification, gentle picking, adaptability to different fruit tree forms, etc.), performance indicators (operation speed, endurance, etc.), and determine the design direction. 2. Concept design: Combined with the needs, conceive the overall solution of the robot. Determine the mechanical structure form (such as wheeled mobile chassis + multi-joint robotic arm, similar to the shape in the figure), plan the functional layout of each part; preliminarily select the perception technology (machine vision to identify fruits, possibly with infrared assistance to determine maturity), control method (how to coordinate movement and robotic arm movements), and form a preliminary design concept and sketch.
Qué lo hace diferente
• Mobile chassis: Large-size off-road tires with multi-wheel layout are more suitable for complex orchard terrain (such as slopes and uneven roads) than conventional agricultural robots, improving environmental adaptability, such as stable movement in orchards with potholes and weeds. • Robotic arm: Multi-joint design with unique arm span and joint flexibility, which may have differences in picking operation range and movement precision, such as being able to cover more complex fruit tree shapes and complete difficult picking posture adjustment.
Planes para el futuro
Full-scenario adaptation: Let the mobile chassis adapt to more orchard terrains, such as mountains and muddy land. Through algorithm optimization + hardware upgrade (changing to stronger tires and suspension), it can run efficiently regardless of the environment of the orchard. The robotic arm should be more "smart" and can cope with different fruit trees (height, density of branches and leaves), different fruits (shape, size), and truly achieve "all-inclusive" in all kinds of orchards.
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